Anomaly Detection System | Artificial Intelligence
Zeeshan Akram
This project was private, so I can't share too much information.
Performed Tasks:
Developed application and its architecture for anomaly detection with different ml and dl frameworks (scikit learn, apache-spark, tensorflow/keras and autokeras) with Python.
Developed Frontend for application in Streamlit.
Build machine learning and deep learning models.
Deployed application on GCP GKE and Cloud Run.
Build a CICD pipeline with GitHub, GCP Cloud Build and Scaffold for auto builds and deployments.
Perform data preprocessing, feature engineering and data analysis.
Build dashboards with Apache superset.
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Posted Jul 25, 2024
Developed an Anomaly Detection system for a US-based startup, detecting whether the insurance claim is fraudulent.
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